Estimation of Statistical Characteristics for Storm Precipitation with Long-term Data to Assess Climate Change

2016 ◽  
Vol 2 (2) ◽  
pp. 83-87 ◽  
Author(s):  
V. Ilinich ◽  
E. Akulova ◽  
V. Belchihina ◽  
K. Ponomarchuk
Keyword(s):  
Climate Change ◽  
Statistical Characteristics ◽  
Assess Climate Change ◽  
Term Data

Laying date of marsh tits Parus palustris in relation to climate change

Biologia ◽  
2006 ◽  
Vol 61 (5) ◽  
Author(s):  
Zdravko Dolenec
Keyword(s):  
Climate Change ◽  
Life History Traits ◽  
Laying Date ◽  
Bird Breeding ◽  
Spring Temperatures ◽  
The Mean ◽  
The Relationship ◽  
Marsh Tit ◽  
Term Data

AbstractIncreasing evidence suggests that climate change affects bird breeding phenology and other life-history traits of wildlife. This study is based on the mean spring temperatures (February, March, April) and laying dates of first eggs of the marsh tit Parus palustris. We collected data from 1984 to 2004 for the Mokrice area in NW Croatia. Correlation between laying date and mean spring temperatures was significant. The relationship between mean laying date (y) and air temperature (x) can be expressed as y = 44.69 − 2.08x. Results indicate that spring temperatures are a good predictor of timing of laying eggs. Such long-term data could than be used in order to assess the effects on biological systems if human activities influence climate.

scholarly journals Climate change contributes to widespread declines among bumble bees across continents

Science ◽  
2020 ◽  
Vol 367 (6478) ◽  
pp. 685-688 ◽  
Author(s):  
Peter Soroye ◽  
Tim Newbold ◽  
Jeremy Kerr
Keyword(s):  
Climate Change ◽  
Extinction Risk ◽  
Biodiversity Loss ◽  
Bumble Bee ◽  
Species Extinction ◽  
Population Extinction ◽  
Colonization Dynamics ◽  
Term Data ◽  
Related Population

Climate change could increase species’ extinction risk as temperatures and precipitation begin to exceed species’ historically observed tolerances. Using long-term data for 66 bumble bee species across North America and Europe, we tested whether this mechanism altered likelihoods of bumble bee species’ extinction or colonization. Increasing frequency of hotter temperatures predicts species’ local extinction risk, chances of colonizing a new area, and changing species richness. Effects are independent of changing land uses. The method developed in this study permits spatially explicit predictions of climate change–related population extinction-colonization dynamics within species that explains observed patterns of geographical range loss and expansion across continents. Increasing frequencies of temperatures that exceed historically observed tolerances help explain widespread bumble bee species decline. This mechanism may also contribute to biodiversity loss more generally.

scholarly journals Long-term data from a small mammal community reveals loss of diversity and potential effects of local climate change

2016 ◽  
pp. zow109 ◽  
Author(s):  
Simone Santoro ◽  
Cristina Sanchez-Suarez ◽  
Carlos Rouco ◽  
L. Javier Palomo ◽  
M. Carmen Fernández ◽  
...  
Keyword(s):  
Climate Change ◽  
Small Mammal ◽  
Local Climate ◽  
Small Mammal Community ◽  
Local Climate Change ◽  
Loss Of Diversity ◽  
Mammal Community ◽  
Term Data

scholarly journals Climate change and long-term data are the hot topics at Auckland conference on ‘Climate and Oceans’

2010 ◽  
Vol 44 (1) ◽  
pp. 77-80
Author(s):  
Mark J Costello ◽  
Mary Livingston ◽  
Colin McLay ◽  
Ann McCrone ◽  
Carolyn Lundquist
Keyword(s):  
Climate Change ◽  
Term Data

Importance and necessity of long-term field experiments

2010 ◽  
Vol 58 (Supplement 1) ◽  
pp. 7-11
Author(s):  
T. Kismányoki
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Field Experiments ◽  
Long Term Effects ◽  
Nutrient Balances ◽  
The Sustainable Development ◽  
Term Data ◽  
Made In ◽  
Term Field

The importance and necessity of long-term field experiments lie in the fact that long-term effects can only be studied reliably over several decades. The agronomic advances made in recent decades, based on chemicals and genetic gains, can be measured using long-term data, which will also be important in the future. Nutrient balances can be estimated reliably from the results of these experiments. The effect of climate change can be estimated by comparing long-term data from different locations. Long-term databases also form the background for computer models, designed to promote the sustainable development of agriculture and the environment.

Recovery of Antarctic stream epilithon from simulated scouring events

2015 ◽  
Vol 27 (4) ◽  
pp. 341-354 ◽  
Author(s):  
Tyler J. Kohler ◽  
Ethan Chatfield ◽  
Michael N. Gooseff ◽  
John E. Barrett ◽  
Diane M. McKnight
Keyword(s):  
Climate Change ◽  
Microbial Mats ◽  
Dry Mass ◽  
Stream Flows ◽  
Benthic Biomass ◽  
Dry Valley ◽  
The Antarctic ◽  
Term Data

AbstractMicrobial mats are common in polar streams and often dominate benthic biomass. Climate change may be enhancing the variability of stream flows in the Antarctic, but so far studies investigating mat responses to disturbance have been limited in this region. Mat regrowth was evaluated following disturbance by experimentally scouring rocks from an ephemeral McMurdo Dry Valley stream over two summers (2001–02 and 2012–13). Mats were sampled at the beginning and resampled at the end of the flow season. In 2012–13, mats were additionally resampled mid-season along with previously undisturbed controls. In 2001–02 rocks regained 47% of chlorophyll a and 40% of ash-free dry mass by the end of the summer, while in 2012–13 rocks regrew 18% and 27%, respectively. Mat stoichiometry differed between summers, and reflected differences in biomass and discharge. Oscillatoria spp. were greatest on scoured rocks and Phormidium spp. on undisturbed rocks. Small diatoms Humidophila and Fistulifera spp. increased throughout the summer in all mats, with the latter more abundant in scoured communities. Collectively, these data suggest that mats are variable intra-annually, responsive to hydrology and require multiple summers to regrow initial biomass once lost. These results will aid the interpretation of long-term data, as well as inform Antarctic Specially Managed Area protocols.

scholarly journals Recent Climate Change in the Lake Kyoga Basin, Uganda: An Analysis Using Short-Term and Long-Term Data with Standardized Precipitation and Anomaly Indexes

Climate ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 179
Author(s):  
John Peter Obubu ◽  
Seyoum Mengistou ◽  
Tadesse Fetahi ◽  
Tena Alamirew ◽  
Robinson Odong ◽  
...  
Keyword(s):  
Climate Change ◽  
Kendall Test ◽  
Rainfall Anomaly ◽  
Short Term ◽  
Adaptation Measures ◽  
Mitigation And Adaptation ◽  
Weather Events ◽  
Recent Climate ◽  
Term Data

Climate change (CC) is now a global challenge due to uncertainties on the drivers and the multifaceted nature of its impacts. It impacts many sectors such as agriculture, water supply, and global economies through temperature and precipitation, affecting many livelihoods. Although there are global, regional, and national studies on CC, their application to determine local CC occurence mitigation and adaptation measures is not ideal. Therefore, this study aimed to determine climate change trends in Lake Kyoga Basin using standardized precipitation and anomaly indexes. Short-term (39 years, 1981–2020) and long-term (59 years, 1961–2020) monthly data from eight strategic meteorological stations were acquired from the Uganda National Meteorological Authority and supplemented with satellite and model reanalysis climate datasets. Change in precipitation was determined by SPI-6, while SAI determined change in temperature. The Mann–Kendall test was used to determine the trend significance. Whereas two (Serere and Lira) long-term data stations showed significant changes in precipitation, all the short-term data stations showed a significant increasing trend. Decadal relative rainfall anomaly increased from 85.6–105 in 1981–1990 to 92.0–120.9 in 2011–2020, while mean temperature anomaly increased from 0.2–0.6 °C to 1.0–1.6 °C in the same period. The frequency of severe wet weather events was more than for dry weather events in many stations, indicating an increase in precipitation. Maximum, mean, and minimum temperatures increased, with resultant warmer nights. The findings showed that the Lake Kyoga basin is experiencing climate change, with both temperature and rainfall increasing spatially and temporarily. Climate change affects agriculture, which is the main economic activity, and causes the destruction of infrastructure from floods, landslides, and mudslides. The results of this study are helpful in pointing out climate change-affected areas, and hence for designing mitigation and adaption strategies for local communities by policy and decision-makers from relevant stakeholders.

scholarly journals Effects of Climate Change on Birds

2019 ◽  
Keyword(s):  
Climate Change ◽  
Rapid Change ◽  
Future Research ◽  
General Audience ◽  
Environmental Consequences ◽  
Wide Range ◽  
Level Of Knowledge ◽  
Source Of Information ◽  
Term Data

Climate change issues are attracting rapidly increasing interest from a wide range of biologists due to their unprecedented effects on global biodiversity, although there remains a lack of general knowledge as to the environmental consequences of such rapid change. Compared with any other class of animals, birds provide more long-term data and extensive time series, a more geographically and taxonomically diverse source of information, a richer source of data on a greater range of topics dealing with the effects of climate change, and a longer tradition of extensive research. The first edition of the book was widely cited and this new edition continues to provide an exhaustive and up-to-date synthesis of our rapidly expanding level of knowledge as it relates to birds, highlighting new methods and areas for future research. Effects of Climate Change on Birds is aimed at professional avian biologists and ornithologists as well as graduate students of avian ecology, evolution, and conservation. It will also be of relevance and use to a more general audience of climate change biologists, administrators, and conservationists because of the potential relevance of its theoretical and empirical content to other organisms including ourselves.

Long-term time series of ornithological data

2019 ◽  
pp. 37-43
Author(s):  
Anders Pape Møller ◽  
Wesley M. Hochachka
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Population Studies ◽  
Genetic Evolution ◽  
Multiple Data ◽  
Methodological Studies ◽  
Term Data ◽  
Bird Observation

There are numerous sources of data relevant for studies of the effects of climate change. Here we provide a classification of such data and their advantages and drawbacks. Long-term data can be classified into data from long-term population studies, nest record schemes, bird surveys, breeding and winter atlases, bird ringing information, bird ringing stations, bird observation depositories, and museum collections. Such data differ enormously in quality, but also in their usefulness. They range from long-term population studies of individually banded birds that can be used for genetic, evolution, and ecology studies to studies of presence/absence data. There are relatively few individual-based population studies while databases of records of individuals are much more abundant, albeit still useful for many purposes. Different databases also vary consistently in data quality, and there is scope for methodological studies and comparative analyses of multiple data bases.

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